Again, welcome to SBI2’s first virtual and 7th Annual Conference! While the impetus for the virtual meeting is the COVID19 pandemic we are trying to take the educational opportunity this year to be generous to our members, future members and sponsors by providing free registration to this event.  We are a volunteer run society and are sustained primarily through our annual conference as a non-profit (501c3) organization. Thus, we would like you to visit our SBI2 booth during the conference (add points to your leaderboard), consider membership and/or volunteering your key skills. As this virtual means of communication may last a while longer experience in those skills are also highly desired.

The scientific program committee has selected and invited world-class key opinion leaders in the fields of imaging and informatics and during the event you will hear the very best about their latest innovative research and applications.  This two-day program kicks off with the main scientific sessions on Wednesday and Thursday where we are honored to have Keynote Speakers, Lina Nilsson, Vice President of Data Science Product from Recursion Pharmaceuticals and Scott Fraser, Provost Professor at USC. Additionally there are two main scientific sessions each day which includes: Wednesday’s entitled “Assay Development & High Content Screening Case Histories” and “High Content Imaging Innovations”, and Thursday’s entitled “High Content Imaging Applications to Tissue Engineering” and “Maximizing the Value of your Imaging Data”. Speaker line-ups in these sessions are also outstanding!

Don’t forget all the extras that we have endeavored to replicate in the virtual settings- round table discussions, exhibitor booths, the poster hall and direct open chats in the networking space with colleagues! A briefcase to add literaure acquired during the conference you may download at any time. As the conference begins we hope it lives up to your expectations and provides both new knowedge and contacts that will assist and expand your research endeavors. As mentioned earlier, consider joining us, volunteering, running for an open board position or helping on a work group. With that, we are truly optimistic and are planning ahead so book your calendars for 2021- Live- Boston- Joseph B. Martin Conference Center-October 4-6th.

Enjoy have a great event!

Education Webinar Series

Impact of Segmentation Quality on Assay Endpoints - Deep Learning for High Content Screening 
Instructor: Fuhui Long

October 22, 2020,

As High Content Analysis (HCA) has matured and gained wider adoption as a quantitative research tool, the application space has grown and is no longer limited to a finite list of well defined assays performed in standard biological models. To account for this added complexity, a large focus has been placed on improving the flexibility and performance of analysis methods. Machine Learning is becoming ubiquitous and there are many examples these methods outperforming traditional methods for applications across many industries, scientific disciplines, and every day life. One would assume that technologies such as Deep Learning could provide similar benefits in HCA. But with any new technology, one has to weigh the potential benefits against the associated costs of adoption. We will present background information describing some of the fundamental differences between image analysis methods, considerations one should keep in mind when evaluating analysis methods, and some examples suggesting the improvements one could realize by employing technologies such as Deep Learning.

Introduction to FLIM-FRET Techniques
Instructor: David Andrews

October 26, 2020,

Fluorescence Resonance Energy Transfer (FRET) between fluorescence proteins has been implemented for a number of biosensors in which the donor and acceptor are linked in a single sensor.  For example, many sensors have been published to measure caspase activity in live cells using a single molecule consisting of a CFP donor linked via a caspase site to an YFP acceptor. In single molecule sensors FRET can be measured using either stimulated emission or Fluorescence Lifetime Imaging Microscopy (FLIM) because the ratio of donor to acceptor is one. However, to measure protein:protein interactions in live cells is more complicated because the relative concentration of donor and acceptor are unknown. Because fluorescence lifetime is independent of concentration, it is possible to use FLIM FRET to quantify binding between any two proteins in live cells. By successfully automating FLIM FRET assays for high throughput we enabled examining the combinatorial interactions between 4 anti-apoptosis proteins with 6 different pro-apoptotic binding partners and their modulation by 15 drugs at 5 concentrations each.

In this webinar we will discuss the benefits and limitations of different methods for measuring FRET in cells. I will describe the exceptional utility of this kind of data in early stage drug development. Also discussed will be the steps required to surmount the challenges posed when generating 1800 binding curves in a single experiment with live cells and how to interpret the data to provide the most useful single value to guide medicinal chemistry efforts. Finally, we will explore some of the unexpected insights garnered from our data examining inhibitors on anti-apoptosis proteins in live cells.

Learning Objectives:

1. Understanding what FRET is and how it can be used to measure protein:protein interactions

2. Understanding how FRET can be measured in live cells using automated microscopy

Image and Data Processing for HCS Toxicology
Instructor: David Egan and Wieand Omta

November 5, 2020,


The pharmaceuticals and biotechnology industries have made substantial progress in reducing the number of drugs that fail in clinical trials due to safety. This has been due, in part, to an improvement in the ability to identify problematic compounds at an earlier stage in the drug discovery process, using in vitro methods. One technology that is increasingly being used in this effort is high content analysis, (HCA).

This educational session will serve as an introduction to the field of HCA for toxicology. we will review how HCA can increase the efficiency of tox screening through the multiplexing of assays. There will be a special focus on how HCA, when combined with various forms of Artificial Intelligence, can be used for predictive toxicology. We will discuss how the technologies have been applied in various disease fields and the challenges associated with the implementation of these methods.

Basic Concepts in Imaging-based HTS and High-throughput Profiling Assay Development
Instructor: Joshua Harrill

November 18, 2020,

This session introduces basic concepts of imaging-based high-throughput screening (HTS) and high-throughput profiling assay development. Imaging-based HTS assays are designed to evaluate a discrete cellular process and produce a single, or small number of quantitative outputs. In contrast, imaging-based HTP assays measure dozens to thousands of features and provide highly multiplexed quantitative outputs.  Either type of approach may be used to evaluate the effects of chemicals or other perturbagens on cellular biology. Topics for this session include (but are not limited to) considerations for model selection, endpoint selection, imaging assay design, identification and use of positive control and reference treatments, methods for evaluating assay dynamic range and approaches for evaluating assay reproducibility. Examples of HCS assays for a variety of biological processes including nuclear receptor activation, oxidative stress, apoptosis, neurite outgrowth and others will be explored. In addition, this presentation will explore the basic concepts of machine learning classification in the context of HTP assays such as Cell Painting. Attendees will gain a basic foundational knowledge of guiding principles underlying the development of imaging-based HTS and HTP assays.  The views expressed in this presentation are those of the author and do not necessarily reflect USEPA policy.

Introduction to Image Processing for High-Content Screening
Instructor: Mark Bray

December 9, 2020,

Image-based screens require the use of automated microscopes which generates hundreds, if not thousands of images at a time. With such large image sets, automatic image analysis is more objective and quantitative and less tedious then visual inspection alone. This session will provide an overview of the basic concepts, methods and software used in automated image analysis, including which relevant image pixels, partitioning an image into cellular compartments and measuring interesting properties of these compartments.

Optimizing HCI of 3D Models for Drug Discovery
Instructor: Arvonn Tully & Judi Wardwell-Swanson

February 3rd, 2021,

In vitro spheroid models are fast becoming the de facto standard for drug discovery applications, largely due to their human-like physiological and morphological characteristics, tissue-like cellular complexity, and long culture lifespan, which enables longitudinal studies that better reflect patient treatment plans in the clinic. High content imaging and analysis (HCA) of 3D spheroid models can provide valuable information to help researchers untangle disease pathophysiology and assess novel therapies more effectively. Making the move from simple monolayer 2D cell models to dense 3D spheroids in HCI applications, however, requires 3D-optimized protocols, instrumentation, and resources.

In this webinar, we will discuss considerations for high content imaging and analysis of 3D spheroid disease models for drug discovery, share lessons we learned while in setting up and conducting proof-of-concept studies designed to test the full potential for high resolution image-based analysis of 3D spheroid models, and provide a working checklist for researchers and core services groups planning to exploit these technologies in their work.

On Demand Webinar Link

Scientific Colloquium

Artificial Intelligence for Imaging Applications

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Round Tables Overview

September 16
3:00pm - 6:00pm

Round Table Sessions – Recorded Zoom Meetings

4:00 - 5:00
Exploring High-Content’s utilization in 2D and 3D virology applications from assay development to high-throughput screening
(Sponsored and Facilitated by ThermoFisher)

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5:00 - 6:00
Small is beautiful: microfluidics as an enabling technology for dynamically controlled high content imaging
(Sponsored and Facilitated by Millipore)

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September 17
3:00pm - 6:00pm

Round Table Sessions – Recorded Zoom Meetings

3:00 - 4:00
High Content Screening: Optimizing Multi-Parametric, Cell-Based Assays
(Sponsored and Facilitated by ExpressCells)

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4:00 - 5:00
Deep Learning-based HCS Image Analysis – Principles and Application
(Sponsored and Facilitated by Genedata)

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5:00 - 6:00
Transitioning high content assays to 3D: Scientific opportunities and imaging challenges
(Sponsored and Facilitated by Molecular Devices)

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General Annual Meeting

The annual General Meeting will be held following the conference this year.

Time: October 7, 11:00am EDT.

Where: Society of Biomolecular Imaging and Informatics is inviting you to a scheduled Zoom meeting.

Join Zoom Meeting

Meeting Ended - See recording

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